Cursor 安装指南
常与开发类 MCP Server 搭配使用的 AI 代码编辑器。
MCP Servers
MCP server for searching and retrieving flight information using Duffel API.
While other amazing Figma MCP servers like Figma-Context-MCP exist, one issues is the API limiting for free users.
Local-first memory, visualized. 3,800+ entities and 41,000+ connections, captured automatically as you work.
mcp-name: io.github.king-of-the-grackles/reddit-research-mcp
MikroTik MCP provides a bridge between AI assistants and MikroTik RouterOS devices. It allows AI assistants to interact with MikroTik routers through natural language requests, executing commands...
mcp-name: io.github.king-of-the-grackles/reddit-research-mcp
api router for MCP Servers
Zenith is an agent harness for work that may run for days or weeks, where the dominant failure mode is premature completion rather than inability to make progress.
基于 FastAPI + LangChain + OpenAI 构建的小红书内容挖掘与自动生成系统。支持从爬取竞品数据、分析爆款规律、AI 生成文案与配图，到一键发布至小红书的完整闭环。
This is a dnSpy MCPServer Extension for the use of automated AI .NET reverse engineering The \dnSpy\Extensions\Examples\AgentSmithers dnSpy MCPServer.
System Audio Capture | 12 ASR Providers | Local-First AI Review Workspace
One command. Full visibility. Read-only.
Agent Skills
Shiny for Python is the best way to build fast, beautiful web applications in Python. You can build quickly with Shiny and create simple interactive visualizations and prototype applications in an...
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...
Adala is an **utonomous **ta (**abeling) **gent framework.
Beautiful UI components built for Better Auth.
KAI Scheduler is a robust, efficient, and scalable Kubernetes scheduler that optimizes GPU resource allocation for AI and machine learning workloads.
Your AI skills and agents, finally organized.
Model export recipes, Python primitives, and Swift runtime utilities for building on-device AI with Core AI.
本项目是基于吴恩达老师在 DeepLearning.AI 平台推出的 agent-skills-with-anthropic 系列课程的中文学习资料整理项目。我们致力于为中文学习者提供高质量的课程内容翻译、系统的知识点梳理以及详细的示例代码解读，帮助大家更轻松地掌握 Agent Skills。
A collection of AI agent skills focused on resume optimization, job applications, and career development.
For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.
upfetch is an advanced fetch client builder with standard schema validation, automatic response parsing, smart defaults and more.
📚 Check out the comprehensive docs with detailed guides, examples, and best practices!